Design of Cross-Border e-Commerce Supply Chain Network Driven by Machine Learning

These days, cross-border e-commerce plays a major role in the development of new international trade infrastructure and an online Silk Road. Increasing cross-border e-commerce using intelligent technology may enhance the performance of the industrial chain as a whole. The intelligent customization paradigm has progressed to a higher learning level. This study first examines the present state of research on intelligent customization of cross-border e-commerce and its technological foundations. Next, the technical framework based on deep learning is built for intelligent cross-border e-commerce customization. The model is then trained, evaluated, and tested. Lastly, it presents the deep learning-based marketing and implementation plan for intelligent customization in international e-commerce. The system may play a critical role in assisting businesses engaged in cross-border e-commerce in selecting their goods and streamlining the manufacturing process. Additionally, it may be applied to both theoretical and actual demand forecasting in global marketplaces.